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Showing 1 to 15 of 15 for “"Min-cut"”.

  1. Flow Optimization in Dynamic and Continuous Networks (Polymatroids, Submodular, Max-Flow Min-Cut)

    … studied in this thesis is that of comparing a minimum-delay time-varying routing assignment in a dynamic network where the node demands and link capacities are deterministic functions of time, and where the commodity being routed is represented by continuous variables. A single node is …

    uiuc Repository record for Flow Optimization in Dynamic and Continuous Networks (Polymatroids, Submodular, Max-Flow Min-Cut) (opens in a new tab)

  2. A Cut Search Approach to Max-Flow Min-Cut Problems and Cost Duration Analysis

    Made available in DSpace on 2014-12-10T22:48:28Z (GMT). No. of bitstreams: 1 7511768.pdf: 4337186 bytes, checksum: 5b3e63b676ddd12f803feeb93c630ba0 (MD5) Previous issue date: 1974

    uiuc Repository record for A Cut Search Approach to Max-Flow Min-Cut Problems and Cost Duration Analysis (opens in a new tab)

  3. Enhancing network robustness via shielding

    … integer linear program (MILP) to obtain the minimum cost shielding to guarantee the connectivity of a single source-destination (SD) pair under a general failure model, and exploit geographical properties to decompose the shielding problem under a geographical failure model. We extend our …

    mit Repository record for Enhancing network robustness via shielding (opens in a new tab)

  4. Cuts and connectivity in graphs and hypergraphs

    In this thesis, we consider cut and connectivity problems on graphs, digraphs, hypergraphs and hedgegraphs. The main results are the following: - We introduce a faster algorithm for finding the reduced graph in element-connectivity computations. We also show its application to node separation. - We …

    uiuc Repository record for Cuts and connectivity in graphs and hypergraphs (opens in a new tab)

  5. Large Scale Machine Learning in Biology

    … relationships between optimizing the regularized min-cut cost function used in spectral clustering and the relevance information as defined in the Information Bottleneck method. For fast-mixing graphs, we show that the regularized min-cut cost functions introduced by Shi and Malik over a decade …

    columbia-diss Repository record for Large Scale Machine Learning in Biology (opens in a new tab)

  6. Cheeger sets for unit cube : analytical and numerical solutions for L [infinity] and L² norms

    … constant h(Q) of a domain Q is defined as the minimum value of ...... with D varying over all smooth sub-domains of Q. The D that achieves this minimum is called the Cheeger set of Q. We present some analytical and numerical work on the Cheeger set for the unit cube ... using the ...and the ... …

    mit Repository record for Cheeger sets for unit cube : analytical and numerical solutions for L [infinity] and L² norms (opens in a new tab)

  7. Topics in multi-terminal wireless networks

    … information theory are used to study multiterminal wireless networks. A compress-and-forward scheme with layered decoding is presented for the unicast and multi-source wireless network and shown to be approximately optimal. This scheme is shown to allow better decoding complexity compared to …

    uiuc Repository record for Topics in multi-terminal wireless networks (opens in a new tab)

  8. Layering principles for wireless networks

    … routing (flow) for multiple-unicast traffic: the min-cut upper bound is within a logarithmic factor of the number of sources of the max-flow. This establishes the approximate capacity of multiple-unicast in wireline networks. In this thesis, we ``extend'' this wireline result to the wireless …

    uiuc Repository record for Layering principles for wireless networks (opens in a new tab)

  9. Network security and min-cost max-flow problem

    … faces cost of disrupting links. Linear programming duality and the Max-Flow Min-Cut Theorem are applied to obtain properties that are satisfied in any Nash equilibrium. Using graph theoretic arguments, we give a characterization of the support of the equilibrium strategies. Finally, we study …

    mit Repository record for Network security and min-cost max-flow problem (opens in a new tab)

  10. Animal Internal Motion Analysis with Unsupervised Machine Learning Methods

    … While our laboratory's previously established Minimum-Cost Circulation-Based Framework provides a foundational approach, it suffers from limitations in robustness due to inadequate accuracy in cell segmentation. To address these shortcomings, we introduce PrinCut-Auto, a cutting-edge method …

    vt Repository record for Animal Internal Motion Analysis with Unsupervised Machine Learning Methods (opens in a new tab)

  11. Linear algebraic approaches to coding for multiple unicast networks

    … behind our approaches. We start with careful examination of the algebraic framework of network coding, which forms the foundation of many important theoretic and practical network coding results. Our results on atomic decomposition of network transfer matrix and the edge reduction lemma …

    mit Repository record for Linear algebraic approaches to coding for multiple unicast networks (opens in a new tab)

  12. Cuts and partitions: solving, counting, and enumerating

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms

    uiuc Repository record for Cuts and partitions: solving, counting, and enumerating (opens in a new tab)

  13. Investigations into effectively moving people and goods

    … approach integrates a system perspective, i.e., minimizing congestion, and a user perspective, i.e., minimizing inconvenience. As a design choice, we only solve linear program which is more likely to scale well and be of practical use. The linear structure of our models allows us to derive …

    gatech Repository record for Investigations into effectively moving people and goods (opens in a new tab)

  14. On the robustness of network infrastructures to disasters and physical attacks

    … the geographical layout of the network determines the impact of such events on the network's connectivity. We focus on network analysis and design under a geographic failure model of (geographical) networks to such disasters. Initially, we aim to identify the most vulnerable parts of data …

    mit Repository record for On the robustness of network infrastructures to disasters and physical attacks (opens in a new tab)